Senior Data Engineer
Offer summary
Qualifications:
Proven expertise in Apache Spark, preferably with PySpark, Scala, or SQL., Hands-on experience with Microsoft Fabric, Databricks, and Azure Synapse Analytics., Solid understanding of Data Lakehouse architecture, data modeling, and ETL/ELT practices., Strong communication skills in both French and English, with client-facing experience..Key responsibilities:
- Design and implement modern data platform solutions using Azure, Databricks, Synapse, and Microsoft Fabric.
- Build scalable, high-performance data pipelines and manage data ingestion from various sources.
- Ensure data quality, integrity, and governance using Azure-native services.
- Collaborate with cross-functional teams and mentor junior members.
Job description
Company Description
Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in endtoend transformation.
As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics.
Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.
Be part of our Hitachi family
We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation – And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don´t take our word for it – Have a look at what our employees are saying: Nos équipes | Hitachi Solutions
Job DescriptionAbout the Role
We are looking for a highly skilled and clientoriented Senior Data Engineer with deep expertise in Apache Spark, Azure Synapse Analytics, Databricks, and Microsoft Fabric. You will be responsible for designing, building, and optimizing endtoend data pipelines and platforms in the cloud. You will work with crossfunctional teams including architects, data scientists, and business stakeholders to ensure our solutions are robust, scalable, and businessaligned.
Key Responsibilities
- Design and implement modern data platform solutions using Azure, Databricks, Synapse, and Microsoft Fabric.
- Build scalable, highperformance data pipelines using Spark.
- Implement data ingestion from various sources, including structured, semistructured, and unstructured data.
- Define and implement data models and transformation logic to support analytics and reporting use cases.
- Develop and manage data integration and orchestration using Azure Data Factory or Microsoft Fabric Data Pipelines.
- Ensure data quality, integrity, lineage, and governance using best practices and Azurenative services.
- Collaborate with architects and clients to define solution architecture and implementation roadmaps.
- Mentor junior team members and contribute to internal knowledge sharing.
- Participate in presales, proposal writing, and client workshops to shape future engagements.
- Continuously explore new tools and technologies to stay at the forefront of the data engineering domain.
QualificationsRequired Technical Skills
- Strong expertise with Apache Spark development, performance tuning and optimisation (PySpark preferred; Scala or SQL also relevant).
- Handson experience in Microsoft Fabric, particularly with Lakehouses, Data Pipelines, and Notebooks.
- Deep knowledge of Databricks, including development workflows, Delta Lake, and Unity Catalog.
- Experience with Azure Data Factory andor Fabric Data Factory for orchestration and data movement.
- Solid understanding of Data Lakehouse architecture, Data Modeling (DimensionalStar Schema), and ETLELT best practices.
- Familiarity with CICD for data solutions using Azure DevOps.
- Understanding of data governance, security, and RBAC within the Azure ecosystem.
Preferred Skills
- Experience working in a consulting or professional services environment.
- Knowledge of Power BI, especially for working with Microsoft Fabric datasets.
- Familiarity with InfrastructureasCode (IaC) for Azure (e.g., Bicep, Terraform).
- Understanding of realtime data processing with Azure Event Hub, Stream Analytics, or similar.
- Exposure to Machine Learning pipelines or supporting Data Science teams is a plus.
NonTechnical Skills
- Strong communication and clientfacing skills; able to articulate complex ideas clearly to nontechnical stakeholders.
- Consultative mindset with the ability to assess client needs and propose tailored data solutions.
- Experience working in agile and deliveryoriented teams.
- Strong problemsolving ability and analytical thinking.
- Comfortable working both independently and collaboratively.
- Fluency in French and English (both written and verbal) is required.
Additional InformationRecruitment process :
- Telephone with Recruiter or HR
- Technical interview #1 in English with one of our DataAI Architect
- Technical case study interview #2 in French or English with our Architect & Director
- Facetoface interview with the General Manager France
Contract :
- Permanent contract
- homebased contract
- Available from immediately
Benefits :
- Lunch vouchers
- Annual bonus
In applying for a role with Hitachi Solutions Europe Limited andor its affiliates (“Hitachi”) you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy
Policy located at Politique de confidentialité | Hitachi Solutions
Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in endtoend transformation.
As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics.
Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.
Be part of our Hitachi family
We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation – And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don´t take our word for it – Have a look at what our employees are saying: Nos équipes | Hitachi Solutions
Job DescriptionAbout the Role
We are looking for a highly skilled and clientoriented Senior Data Engineer with deep expertise in Apache Spark, Azure Synapse Analytics, Databricks, and Microsoft Fabric. You will be responsible for designing, building, and optimizing endtoend data pipelines and platforms in the cloud. You will work with crossfunctional teams including architects, data scientists, and business stakeholders to ensure our solutions are robust, scalable, and businessaligned.
Key Responsibilities
- Design and implement modern data platform solutions using Azure, Databricks, Synapse, and Microsoft Fabric.
- Build scalable, highperformance data pipelines using Spark.
- Implement data ingestion from various sources, including structured, semistructured, and unstructured data.
- Define and implement data models and transformation logic to support analytics and reporting use cases.
- Develop and manage data integration and orchestration using Azure Data Factory or Microsoft Fabric Data Pipelines.
- Ensure data quality, integrity, lineage, and governance using best practices and Azurenative services.
- Collaborate with architects and clients to define solution architecture and implementation roadmaps.
- Mentor junior team members and contribute to internal knowledge sharing.
- Participate in presales, proposal writing, and client workshops to shape future engagements.
- Continuously explore new tools and technologies to stay at the forefront of the data engineering domain.
QualificationsRequired Technical Skills
- Strong expertise with Apache Spark development, performance tuning and optimisation (PySpark preferred; Scala or SQL also relevant).
- Handson experience in Microsoft Fabric, particularly with Lakehouses, Data Pipelines, and Notebooks.
- Deep knowledge of Databricks, including development workflows, Delta Lake, and Unity Catalog.
- Experience with Azure Data Factory andor Fabric Data Factory for orchestration and data movement.
- Solid understanding of Data Lakehouse architecture, Data Modeling (DimensionalStar Schema), and ETLELT best practices.
- Familiarity with CICD for data solutions using Azure DevOps.
- Understanding of data governance, security, and RBAC within the Azure ecosystem.
Preferred Skills
- Experience working in a consulting or professional services environment.
- Knowledge of Power BI, especially for working with Microsoft Fabric datasets.
- Familiarity with InfrastructureasCode (IaC) for Azure (e.g., Bicep, Terraform).
- Understanding of realtime data processing with Azure Event Hub, Stream Analytics, or similar.
- Exposure to Machine Learning pipelines or supporting Data Science teams is a plus.
NonTechnical Skills
- Strong communication and clientfacing skills; able to articulate complex ideas clearly to nontechnical stakeholders.
- Consultative mindset with the ability to assess client needs and propose tailored data solutions.
- Experience working in agile and deliveryoriented teams.
- Strong problemsolving ability and analytical thinking.
- Comfortable working both independently and collaboratively.
- Fluency in French and English (both written and verbal) is required.
Additional InformationRecruitment process :
- Telephone with Recruiter or HR
- Technical interview #1 in English with one of our DataAI Architect
- Technical case study interview #2 in French or English with our Architect & Director
- Facetoface interview with the General Manager France
Contract :
- Permanent contract
- homebased contract
- Available from immediately
Benefits :
- Lunch vouchers
- Annual bonus
In applying for a role with Hitachi Solutions Europe Limited andor its affiliates (“Hitachi”) you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy
Policy located at Politique de confidentialité | Hitachi Solutions
About the Role
We are looking for a highly skilled and clientoriented Senior Data Engineer with deep expertise in Apache Spark, Azure Synapse Analytics, Databricks, and Microsoft Fabric. You will be responsible for designing, building, and optimizing endtoend data pipelines and platforms in the cloud. You will work with crossfunctional teams including architects, data scientists, and business stakeholders to ensure our solutions are robust, scalable, and businessaligned.
Key Responsibilities
- Design and implement modern data platform solutions using Azure, Databricks, Synapse, and Microsoft Fabric.
- Build scalable, highperformance data pipelines using Spark.
- Implement data ingestion from various sources, including structured, semistructured, and unstructured data.
- Define and implement data models and transformation logic to support analytics and reporting use cases.
- Develop and manage data integration and orchestration using Azure Data Factory or Microsoft Fabric Data Pipelines.
- Ensure data quality, integrity, lineage, and governance using best practices and Azurenative services.
- Collaborate with architects and clients to define solution architecture and implementation roadmaps.
- Mentor junior team members and contribute to internal knowledge sharing.
- Participate in presales, proposal writing, and client workshops to shape future engagements.
- Continuously explore new tools and technologies to stay at the forefront of the data engineering domain.
- Strong expertise with Apache Spark development, performance tuning and optimisation (PySpark preferred; Scala or SQL also relevant).
- Handson experience in Microsoft Fabric, particularly with Lakehouses, Data Pipelines, and Notebooks.
- Deep knowledge of Databricks, including development workflows, Delta Lake, and Unity Catalog.
- Experience with Azure Data Factory andor Fabric Data Factory for orchestration and data movement.
- Solid understanding of Data Lakehouse architecture, Data Modeling (DimensionalStar Schema), and ETLELT best practices.
- Familiarity with CICD for data solutions using Azure DevOps.
- Understanding of data governance, security, and RBAC within the Azure ecosystem.
- Experience working in a consulting or professional services environment.
- Knowledge of Power BI, especially for working with Microsoft Fabric datasets.
- Familiarity with InfrastructureasCode (IaC) for Azure (e.g., Bicep, Terraform).
- Understanding of realtime data processing with Azure Event Hub, Stream Analytics, or similar.
- Exposure to Machine Learning pipelines or supporting Data Science teams is a plus.
- Strong communication and clientfacing skills; able to articulate complex ideas clearly to nontechnical stakeholders.
- Consultative mindset with the ability to assess client needs and propose tailored data solutions.
- Experience working in agile and deliveryoriented teams.
- Strong problemsolving ability and analytical thinking.
- Comfortable working both independently and collaboratively.
- Fluency in French and English (both written and verbal) is required.
- Telephone with Recruiter or HR
- Technical interview #1 in English with one of our DataAI Architect
- Technical case study interview #2 in French or English with our Architect & Director
- Facetoface interview with the General Manager France
- Permanent contract
- homebased contract
- Available from immediately
- Lunch vouchers
- Annual bonus
In applying for a role with Hitachi Solutions Europe Limited andor its affiliates (“Hitachi”) you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy
Policy located at Politique de confidentialité | Hitachi Solutions
Benefits :
Contract :
Additional Information
Recruitment process :
NonTechnical Skills
Preferred Skills
Qualifications
Required Technical Skills
Required profile
Experience
Other Skills
- Analytical Thinking
- Teamwork
- Communication
- Problem Solving
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